Automatic Capturing and Analysis of Manual Manufacturing Processes with Minimal Setup Effort

Sönke Knoch; Frederic Kerber; Vladimir Pavlov; Shreeraman Ponpathirkoottam

In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-16), September 14-16, Heidelberg, Germany, Pages 305-308, UbiComp '16, ISBN 978-1-4503-4462-3, ACM, 2016.


The ongoing development of industrial manufacturing towards more individualization and smaller lot sizes opens up a new range of challenges. Not only do the processes in the factories need adaptation, but the workers need more support as well. We showcase a system that is able to address both aspects: an instrumentation of a manual workplace provides direct feedback for planning engineers, while at the same time acquiring data that is helpful for giving the worker feedback. Within this demo we focus on bi-manual picking and assembly processes observed by a lightweight optical recognition system enhanced by ultrasonic sensors, but also give an outlook on other possible modules.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence